CDN impact
Time to first byte by CDN provider, measured in real-user Chrome data.
1
At a glance the headline numbers for CDN impact
Time to first byte by CDN provider, measured in real-user Chrome data.
7
Providers ranked
After min-sites filter
185,477
Sites in sample
Combined across all items
2.0s
Best LCP (p75)
Cloudflare
The State of Web Vitals · Q2 2026 · 189,915 sites · phone field datacorewebvitals.io/state-of-cwv
2
The ranking sorted by LCP at p75, fastest first
| # | Provider | LCP p75 | Passing | Sites | |
|---|---|---|---|---|---|
| 1 | Cloudflare | 2.0s | 85.4% | 23,815 | |
| 2 | Fastly | 2.0s | 84.4% | 6,447 | |
| 3 | Origin | 2.2s | 81.1% | 142,788 | |
| 4 | Akamai | 2.2s | 81.3% | 4,958 | |
| 5 | CloudFront | 2.3s | 79.4% | 6,145 | |
| 6 | Vercel | 2.4s | 79.4% | 981 | |
| 7 | Netlify | 2.5s | 73.7% | 343 |
The State of Web Vitals · Q2 2026 · 189,915 sites · phone field datacorewebvitals.io/state-of-cwv
3
Passing LCP per CDN which group passes the LCP most often
CDNSitesPassing LCPp75
Cloudflare 12.5%
23,815
2.0s
Fastly 3.4%
6,447
2.0s
Akamai 2.6%
4,958
2.2s
Origin 75.1%
142,788
2.2s
Vercel 0.5%
981
2.4s
Cloudfront 3.2%
6,145
2.3s
Netlify 0.2%
343
2.5s
Good
Needs Improvement
Poor
Sorted best-passing first · median colored by its own rating · pass = good LCP (2.5s at p75) · one value per site
85% of Cloudflare sites pass LCP. Netlify trails 11 points behind, leaving 26% of its sites failing. computed
The State of Web Vitals · Q2 2026 · 189,915 sites · phone field datacorewebvitals.io/state-of-cwv
4
All five vitals at once the whole category without toggling - cell is the pass rate, small number the p75
LCP
INP
CLS
FCP
TTFB
Akamai 2.6%
812.2s
94129ms
880.02
771.7s
581.1s
Cloudflare 12.5%
852.0s
91137ms
890.02
811.6s
69937ms
Netlify 0.2%
742.5s
64361ms
650.25
721.9s
471.1s
Origin 75.1%
812.2s
92125ms
900.01
741.8s
561.2s
Fastly 3.4%
842.0s
91123ms
880.01
801.6s
73844ms
Cloudfront 3.2%
792.3s
87154ms
790.08
751.8s
611.1s
Vercel 0.5%
792.4s
84169ms
840.05
761.8s
86599ms
60%95%+ passing
Cell: pass rate, small number = p75 · faded rows: under 100 sites
One row per CDN, one column per vital - the cell is the share of sites passing, the small number the p75. No toggling needed to see where the category actually differs.
Cloudflare leads on LCP: 85% of its sites pass. Netlify trails at 74%. computed
The State of Web Vitals · Q2 2026 · 189,915 sites · phone field datacorewebvitals.io/state-of-cwv
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Related signals
Marketing pixels (10) →
Bot detection (8) →
Forms (4) →
Personalization (6) →
Chrome field data from 189,915 sites, representing millions of real page loads · How we measured
Chrome field data from 189,915 sites, representing millions of real page loads. How we measured.
Live queries (2) — admin only
Query #1:
778.9 ms
SELECT s.entities.cdn AS e, COUNT(*) AS sites,
COUNT(*) FILTER (WHERE s.crux."all".lcp IS NOT NULL) AS all_lcp_n,
quantile_disc(s.crux."all".lcp, 0.5) AS all_lcp_median,
quantile_disc(s.crux."all".lcp, 0.75) AS all_lcp_p75,
COUNT(*) FILTER (WHERE s.crux."all".lcp <= 2500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".lcp IS NOT NULL), 0) AS all_lcp_good,
COUNT(*) FILTER (WHERE s.crux."all".lcp > 2500 AND s.crux."all".lcp <= 4000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".lcp IS NOT NULL), 0) AS all_lcp_ni,
COUNT(*) FILTER (WHERE s.crux."all".lcp > 4000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".lcp IS NOT NULL), 0) AS all_lcp_poor,
COUNT(*) FILTER (WHERE s.crux."all".inp IS NOT NULL) AS all_inp_n,
quantile_disc(s.crux."all".inp, 0.5) AS all_inp_median,
quantile_disc(s.crux."all".inp, 0.75) AS all_inp_p75,
COUNT(*) FILTER (WHERE s.crux."all".inp <= 200) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".inp IS NOT NULL), 0) AS all_inp_good,
COUNT(*) FILTER (WHERE s.crux."all".inp > 200 AND s.crux."all".inp <= 500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".inp IS NOT NULL), 0) AS all_inp_ni,
COUNT(*) FILTER (WHERE s.crux."all".inp > 500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".inp IS NOT NULL), 0) AS all_inp_poor,
COUNT(*) FILTER (WHERE s.crux."all".cls IS NOT NULL) AS all_cls_n,
quantile_disc(s.crux."all".cls, 0.5) AS all_cls_median,
quantile_disc(s.crux."all".cls, 0.75) AS all_cls_p75,
COUNT(*) FILTER (WHERE s.crux."all".cls <= 0.1) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".cls IS NOT NULL), 0) AS all_cls_good,
COUNT(*) FILTER (WHERE s.crux."all".cls > 0.1 AND s.crux."all".cls <= 0.25) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".cls IS NOT NULL), 0) AS all_cls_ni,
COUNT(*) FILTER (WHERE s.crux."all".cls > 0.25) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".cls IS NOT NULL), 0) AS all_cls_poor,
COUNT(*) FILTER (WHERE s.crux."all".fcp IS NOT NULL) AS all_fcp_n,
quantile_disc(s.crux."all".fcp, 0.5) AS all_fcp_median,
quantile_disc(s.crux."all".fcp, 0.75) AS all_fcp_p75,
COUNT(*) FILTER (WHERE s.crux."all".fcp <= 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".fcp IS NOT NULL), 0) AS all_fcp_good,
COUNT(*) FILTER (WHERE s.crux."all".fcp > 1800 AND s.crux."all".fcp <= 3000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".fcp IS NOT NULL), 0) AS all_fcp_ni,
COUNT(*) FILTER (WHERE s.crux."all".fcp > 3000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".fcp IS NOT NULL), 0) AS all_fcp_poor,
COUNT(*) FILTER (WHERE s.crux."all".ttfb IS NOT NULL) AS all_ttfb_n,
quantile_disc(s.crux."all".ttfb, 0.5) AS all_ttfb_median,
quantile_disc(s.crux."all".ttfb, 0.75) AS all_ttfb_p75,
COUNT(*) FILTER (WHERE s.crux."all".ttfb <= 800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".ttfb IS NOT NULL), 0) AS all_ttfb_good,
COUNT(*) FILTER (WHERE s.crux."all".ttfb > 800 AND s.crux."all".ttfb <= 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".ttfb IS NOT NULL), 0) AS all_ttfb_ni,
COUNT(*) FILTER (WHERE s.crux."all".ttfb > 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."all".ttfb IS NOT NULL), 0) AS all_ttfb_poor,
COUNT(*) FILTER (WHERE s.crux."phone".lcp IS NOT NULL) AS phone_lcp_n,
quantile_disc(s.crux."phone".lcp, 0.5) AS phone_lcp_median,
quantile_disc(s.crux."phone".lcp, 0.75) AS phone_lcp_p75,
COUNT(*) FILTER (WHERE s.crux."phone".lcp <= 2500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".lcp IS NOT NULL), 0) AS phone_lcp_good,
COUNT(*) FILTER (WHERE s.crux."phone".lcp > 2500 AND s.crux."phone".lcp <= 4000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".lcp IS NOT NULL), 0) AS phone_lcp_ni,
COUNT(*) FILTER (WHERE s.crux."phone".lcp > 4000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".lcp IS NOT NULL), 0) AS phone_lcp_poor,
COUNT(*) FILTER (WHERE s.crux."phone".inp IS NOT NULL) AS phone_inp_n,
quantile_disc(s.crux."phone".inp, 0.5) AS phone_inp_median,
quantile_disc(s.crux."phone".inp, 0.75) AS phone_inp_p75,
COUNT(*) FILTER (WHERE s.crux."phone".inp <= 200) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".inp IS NOT NULL), 0) AS phone_inp_good,
COUNT(*) FILTER (WHERE s.crux."phone".inp > 200 AND s.crux."phone".inp <= 500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".inp IS NOT NULL), 0) AS phone_inp_ni,
COUNT(*) FILTER (WHERE s.crux."phone".inp > 500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".inp IS NOT NULL), 0) AS phone_inp_poor,
COUNT(*) FILTER (WHERE s.crux."phone".cls IS NOT NULL) AS phone_cls_n,
quantile_disc(s.crux."phone".cls, 0.5) AS phone_cls_median,
quantile_disc(s.crux."phone".cls, 0.75) AS phone_cls_p75,
COUNT(*) FILTER (WHERE s.crux."phone".cls <= 0.1) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".cls IS NOT NULL), 0) AS phone_cls_good,
COUNT(*) FILTER (WHERE s.crux."phone".cls > 0.1 AND s.crux."phone".cls <= 0.25) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".cls IS NOT NULL), 0) AS phone_cls_ni,
COUNT(*) FILTER (WHERE s.crux."phone".cls > 0.25) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".cls IS NOT NULL), 0) AS phone_cls_poor,
COUNT(*) FILTER (WHERE s.crux."phone".fcp IS NOT NULL) AS phone_fcp_n,
quantile_disc(s.crux."phone".fcp, 0.5) AS phone_fcp_median,
quantile_disc(s.crux."phone".fcp, 0.75) AS phone_fcp_p75,
COUNT(*) FILTER (WHERE s.crux."phone".fcp <= 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".fcp IS NOT NULL), 0) AS phone_fcp_good,
COUNT(*) FILTER (WHERE s.crux."phone".fcp > 1800 AND s.crux."phone".fcp <= 3000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".fcp IS NOT NULL), 0) AS phone_fcp_ni,
COUNT(*) FILTER (WHERE s.crux."phone".fcp > 3000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".fcp IS NOT NULL), 0) AS phone_fcp_poor,
COUNT(*) FILTER (WHERE s.crux."phone".ttfb IS NOT NULL) AS phone_ttfb_n,
quantile_disc(s.crux."phone".ttfb, 0.5) AS phone_ttfb_median,
quantile_disc(s.crux."phone".ttfb, 0.75) AS phone_ttfb_p75,
COUNT(*) FILTER (WHERE s.crux."phone".ttfb <= 800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".ttfb IS NOT NULL), 0) AS phone_ttfb_good,
COUNT(*) FILTER (WHERE s.crux."phone".ttfb > 800 AND s.crux."phone".ttfb <= 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".ttfb IS NOT NULL), 0) AS phone_ttfb_ni,
COUNT(*) FILTER (WHERE s.crux."phone".ttfb > 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."phone".ttfb IS NOT NULL), 0) AS phone_ttfb_poor,
COUNT(*) FILTER (WHERE s.crux."desktop".lcp IS NOT NULL) AS desktop_lcp_n,
quantile_disc(s.crux."desktop".lcp, 0.5) AS desktop_lcp_median,
quantile_disc(s.crux."desktop".lcp, 0.75) AS desktop_lcp_p75,
COUNT(*) FILTER (WHERE s.crux."desktop".lcp <= 2500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".lcp IS NOT NULL), 0) AS desktop_lcp_good,
COUNT(*) FILTER (WHERE s.crux."desktop".lcp > 2500 AND s.crux."desktop".lcp <= 4000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".lcp IS NOT NULL), 0) AS desktop_lcp_ni,
COUNT(*) FILTER (WHERE s.crux."desktop".lcp > 4000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".lcp IS NOT NULL), 0) AS desktop_lcp_poor,
COUNT(*) FILTER (WHERE s.crux."desktop".inp IS NOT NULL) AS desktop_inp_n,
quantile_disc(s.crux."desktop".inp, 0.5) AS desktop_inp_median,
quantile_disc(s.crux."desktop".inp, 0.75) AS desktop_inp_p75,
COUNT(*) FILTER (WHERE s.crux."desktop".inp <= 200) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".inp IS NOT NULL), 0) AS desktop_inp_good,
COUNT(*) FILTER (WHERE s.crux."desktop".inp > 200 AND s.crux."desktop".inp <= 500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".inp IS NOT NULL), 0) AS desktop_inp_ni,
COUNT(*) FILTER (WHERE s.crux."desktop".inp > 500) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".inp IS NOT NULL), 0) AS desktop_inp_poor,
COUNT(*) FILTER (WHERE s.crux."desktop".cls IS NOT NULL) AS desktop_cls_n,
quantile_disc(s.crux."desktop".cls, 0.5) AS desktop_cls_median,
quantile_disc(s.crux."desktop".cls, 0.75) AS desktop_cls_p75,
COUNT(*) FILTER (WHERE s.crux."desktop".cls <= 0.1) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".cls IS NOT NULL), 0) AS desktop_cls_good,
COUNT(*) FILTER (WHERE s.crux."desktop".cls > 0.1 AND s.crux."desktop".cls <= 0.25) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".cls IS NOT NULL), 0) AS desktop_cls_ni,
COUNT(*) FILTER (WHERE s.crux."desktop".cls > 0.25) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".cls IS NOT NULL), 0) AS desktop_cls_poor,
COUNT(*) FILTER (WHERE s.crux."desktop".fcp IS NOT NULL) AS desktop_fcp_n,
quantile_disc(s.crux."desktop".fcp, 0.5) AS desktop_fcp_median,
quantile_disc(s.crux."desktop".fcp, 0.75) AS desktop_fcp_p75,
COUNT(*) FILTER (WHERE s.crux."desktop".fcp <= 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".fcp IS NOT NULL), 0) AS desktop_fcp_good,
COUNT(*) FILTER (WHERE s.crux."desktop".fcp > 1800 AND s.crux."desktop".fcp <= 3000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".fcp IS NOT NULL), 0) AS desktop_fcp_ni,
COUNT(*) FILTER (WHERE s.crux."desktop".fcp > 3000) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".fcp IS NOT NULL), 0) AS desktop_fcp_poor,
COUNT(*) FILTER (WHERE s.crux."desktop".ttfb IS NOT NULL) AS desktop_ttfb_n,
quantile_disc(s.crux."desktop".ttfb, 0.5) AS desktop_ttfb_median,
quantile_disc(s.crux."desktop".ttfb, 0.75) AS desktop_ttfb_p75,
COUNT(*) FILTER (WHERE s.crux."desktop".ttfb <= 800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".ttfb IS NOT NULL), 0) AS desktop_ttfb_good,
COUNT(*) FILTER (WHERE s.crux."desktop".ttfb > 800 AND s.crux."desktop".ttfb <= 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".ttfb IS NOT NULL), 0) AS desktop_ttfb_ni,
COUNT(*) FILTER (WHERE s.crux."desktop".ttfb > 1800) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE s.crux."desktop".ttfb IS NOT NULL), 0) AS desktop_ttfb_poor
FROM sites s
WHERE s.entities.cdn IS NOT NULL AND CAST(s.entities.cdn AS VARCHAR) <> ''
GROUP BY s.entities.cdn;
Query #2:
35.5 ms
SELECT COUNT(*) AS n FROM sites;
JSON file lookups (5)
20260625/meta.json
0.04 ms
20260625/types.json
0.92 ms
20260625/loaf-scripts.json
4.67 ms
20260625/menu.json
0.53 ms
20260625/providers.json
4.37 ms